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A Multi-objective Approach to Improving Regional Jobs-Housing Balance

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  • Mark Horner
  • Alan Murray

Abstract

H ORNER M. W. and M URRAY A. T. (2003) A multi-objective approach to improving regional jobs-housing balance, Reg. Studies 37 , 135-146. Congestion is one of the most significant problems facing urban regions. It is well recognized that congestion is largely a by-product of the work commute, suggesting spatial imbalances in the locations of jobs relative to the location of housing. While jobs-housing imbalances persist in most urban areas, research indicates that associated commuting (and congestion) tends to be more than it need be. Addressing these issues, we extend the classic transportation problem to deal with regional jobs-housing imbalances. Application results are presented using journey-to- work data for the Atlanta metropolitan region. Several scenarios are evaluated, demonstrating the inherent flexibility of this modelling approach in addressing the long-term management of congestion. Our results show that policies affecting the distribution of workers are more likely to decrease commuting, as opposed to policies aimed at altering the distribution of jobs. The model may be used as a strategic tool to guide land use decisions aimed at addressing jobs-housing balance, which may ultimately ameliorate the effects of congestion, emissions and related externalities.

Suggested Citation

  • Mark Horner & Alan Murray, 2003. "A Multi-objective Approach to Improving Regional Jobs-Housing Balance," Regional Studies, Taylor & Francis Journals, vol. 37(2), pages 135-146.
    • Handle: RePEc:taf:regstd:v:37:y:2003:i:2:p:135-146
    DOI: 10.1080/0034340022000057514
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    Citations

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    Cited by:

    1. Honghu Sun & Feng Zhen & Yupei Jiang, 2020. "Study on the Characteristics of Urban Residents’ Commuting Behavior and Influencing Factors from the Perspective of Resilience Theory: Theoretical Construction and Empirical Analysis from Nanjing, Chi," IJERPH, MDPI, vol. 17(5), pages 1-17, February.
    2. Michael A. Niedzielski, 2006. "A Spatially Disaggregated Approach to Commuting Efficiency," Urban Studies, Urban Studies Journal Limited, vol. 43(13), pages 2485-2502, December.
    3. Li, Tiebei & Corcoran, Jonathan & Burke, Matthew, 2012. "Disaggregate GIS modelling to track spatial change: exploring a decade of commuting in South East Queensland, Australia," Journal of Transport Geography, Elsevier, vol. 24(C), pages 306-314.
    4. Kim, Kyusik & Horner, Mark W., 2021. "Examining the impacts of the Great Recession on the commuting dynamics and jobs-housing balance of public and private sector workers," Journal of Transport Geography, Elsevier, vol. 90(C).
    5. O’Kelly, Morton E. & Niedzielski, Michael A., 2008. "Efficient spatial interaction: attainable reductions in metropolitan average trip length," Journal of Transport Geography, Elsevier, vol. 16(5), pages 313-323.
    6. Niedzielski, Michael A. & Horner, Mark W. & Xiao, Ningchuan, 2013. "Analyzing scale independence in jobs-housing and commute efficiency metrics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 58(C), pages 129-143.
    7. Li, Tiebei & Dodson, Jago & Sipe, Neil, 2015. "Differentiating metropolitan transport disadvantage by mode: Household expenditure on private vehicle fuel and public transport fares in Brisbane, Australia," Journal of Transport Geography, Elsevier, vol. 49(C), pages 16-25.
    8. Zhou, Jiangping & Murphy, Enda, 2019. "Day-to-day variation in excess commuting: An exploratory study of Brisbane, Australia," Journal of Transport Geography, Elsevier, vol. 74(C), pages 223-232.
    9. Martin John Watts, 2009. "The Impact of Spatial Imbalance and Socioeconomic Characteristics on Average Distance Commuted in the Sydney Metropolitan Area," Urban Studies, Urban Studies Journal Limited, vol. 46(2), pages 317-339, February.
    10. Jiangping, Zhou & Chun, Zhang & Xiaojian, Chen & Wei, Huang & Peng, Yu, 2014. "Has the legacy of Danwei persisted in transformations? the jobs-housing balance and commuting efficiency in Xi’an," Journal of Transport Geography, Elsevier, vol. 40(C), pages 64-76.
    11. Jiangping Zhou & Ying Long, 2016. "Losers and Pareto optimality in optimising commuting patterns," Urban Studies, Urban Studies Journal Limited, vol. 53(12), pages 2511-2529, September.
    12. Raphael Bar-El, 2006. "Inter-regional labor market equilibrium: another pattern of spatial mismatch," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 40(2), pages 393-405, June.
    13. Saadi, Ismaïl & Boussauw, Kobe & Teller, Jacques & Cools, Mario, 2016. "Trends in regional jobs-housing proximity based on the minimum commute: The case of Belgium," Journal of Transport Geography, Elsevier, vol. 57(C), pages 171-183.
    14. Mark W. Horner, 2008. "`Optimal' Accessibility Landscapes? Development of a New Methodology for Simulating and Assessing Jobs—Housing Relationships in Urban Regions," Urban Studies, Urban Studies Journal Limited, vol. 45(8), pages 1583-1602, July.
    15. Bwire, Hannibal & Zengo, Emil, 2020. "Comparison of efficiency between public and private transport modes using excess commuting: An experience in Dar es Salaam," Journal of Transport Geography, Elsevier, vol. 82(C).
    16. Kang-Rae Ma & David Banister, 2006. "Extended Excess Commuting: A Measure of the Jobs-Housing Imbalance in Seoul," Urban Studies, Urban Studies Journal Limited, vol. 43(11), pages 2099-2113, October.
    17. Wagner, Gary A. & Rork, Jonathan C., 2023. "Does state tax reciprocity affect interstate commuting? Evidence from a natural experiment," Regional Science and Urban Economics, Elsevier, vol. 102(C).
    18. Morton E O'Kelly & Wook Lee, 2005. "Disaggregate Journey-to-Work Data: Implications for Excess Commuting and Jobs–Housing Balance," Environment and Planning A, , vol. 37(12), pages 2233-2252, December.
    19. Keone Kelobonye & Feng Mao & Jianhong (Cecilia) Xia & Mohammad Shahidul Hasan Swapan & Gary McCarney, 2019. "The Impact of Employment Self-Sufficiency Measures on Commuting Time: Case Study of Perth, Australia," Sustainability, MDPI, vol. 11(5), pages 1-21, March.

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